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A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH


Article Information:

Title:

A MODEL OF KNOWLEDGE BASED INFORMATION RETRIEVAL WITH HIERARCHICAL CONCEPT GRAPH

Author(s):

YOUNG WHAN KIM, JIN H. KIM

Journal:

Journal of Documentation

Year:

1990

Volume:

46

Issue:

2

Page:

113 - 136


ISSN:

0022-0418


DOI:

10.1108/eb026857

Publisher:

MCB UP Ltd

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Abstract:

This paper discusses a knowledge based information retrieval model with hierarchical thesaurus. The model computes the conceptual distance between a query and an object and both are indexed with weighted terms from a hierarchical thesaurus. The hierarchical thesaurus is represented by a hierarchical-concept graph (HCG) in which nodes represent concepts and directed edges represent generalisation relationships. Rada et al. have developed a similar model. However, their model considered only a binary indexing scheme and revealed some counter-intuitive results. Our proposed model extends theirs by allowing the index term and the edge of the HCG to be weighted. A new concept mapping method is devised to overcome Rada's counter-intuitive results. In addition, a scheme for allowing Boolean operators in user queries is provided with a formula for computing conceptual distance from negated index terms. Experimental results have shown that our model simulates human performance more closely than Rada's model.

Keywords:


Article Type:

General review


Article URL:

http://www.emeraldinsight.com/10.1108/eb026857


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